Multi-lane’s control performance differentiation on traffic efficiency under the lane-level dynamic coordination strategy

Under the context of rapid development of the Internet of vehicles and vehicle-road collaboration system, active traffic management (ATM) becoming the mainstream means of road traffic control and developing toward refinement. In this paper, to study the high-precision lane-level dynamic induction control strategy in different scenarios, based on the NaSch model of cellular automata and combined with the characteristics of the failure section area, a fuzzy lane-changing bypass vehicle-following model considering lane-changing pressure in multi-lane failure scenarios was built. The simulation results show that (i) if the lane failure occurs on the middle lane, the lane should be induced in advance, and the induced lane change effect is the best at about 100 m. When the lane failure occurs in the left lane and right lane, the prompt is best at about 250 m. (ii) The induced distance should be based on actual traffic conditions, free combination of different early warning distances between 100 and 300 m can save about 20–30 s congestion time. (iii) The lane-level dynamic coordinated guidance control measures can effectively improve the road traffic efficiency compared with the static unified control measures, improve the traffic efficiency of road performance, and alleviate traffic congestion time. The conclusion of this paper can provide some reference for dynamic active control management and achieve higher accuracy of traffic flow lane-level control.

• Record URL:
  • https://doi.org/10.1080/15472450.2022.2157213
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15472450
• Supplemental Notes:
  • © 2022 Taylor & Francis Group, LLC 2022. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Fu, Xin
  • Lv, Xiahe
  • Yang, Frank
  • Wang, Xue
  • Wang, Jianwei
• Publication Date: 2024-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 555-572
• Serial:
  • Journal of Intelligent Transportation Systems
  • Volume: 28
  • Issue Number: 4
  • Publisher: Taylor & Francis
  • ISSN: 1547-2450
  • EISSN: 1547-2442
  • Serial URL: http://www.tandfonline.com/loi/gits20

Subject/Index Terms

• TRT Terms: Automatic headway control; Intelligent transportation systems; Lane changing; Traffic control; Traffic lanes
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01925306
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 24 2024 4:30PM